Alessandro Capotondi

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 42

Top Venues

CoRR

DATE

IoT Streams/ITEM@PKDD/ECML

ACM Trans. Reconfigurable Technol. Syst.

University of Bologna, Italy (PHD)

Education History

University of Bologna, Italy

PHD

Publications

Jia-Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi
ShareBERT: Embeddings Are Capable of Learning Hidden Layers. AAAI (2024)
Jia-Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi
Learning from Wrong Predictions in Low-Resource Neural Machine Translation. LREC/COLING (2024)
Gianluca Brilli, Giacomo Valente, Alessandro Capotondi, Tania Di Mascio, Andrea Marongiu
Invited Paper: On the Granularity of Bandwidth Regulation in FPGA-Based Heterogeneous Systems on Chip. WCET (2024)
Gianluca Brilli, Giacomo Valente, Alessandro Capotondi, Paolo Burgio, T. Di Masciov, Paolo Valente, Andrea Marongiu
Fine-Grained QoS Control via Tightly-Coupled Bandwidth Monitoring and Regulation for FPGA-based Heterogeneous SoCs. DAC (2023)
Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi
A request for clarity over the End of Sequence token in the Self-Critical Sequence Training. CoRR (2023)
Jia-Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi
Heterogeneous Encoders Scaling in the Transformer for Neural Machine Translation. NL4AI@AI*IA (2023)
Lorenzo Carletti, Gianluca Brilli, Alessandro Capotondi, Paolo Valente, Andrea Marongiu
The Importance of Worst-Case Memory Contention Analysis for Heterogeneous SoCs. CoRR (2023)
Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi
A Request for Clarity over the End of Sequence Token in the Self-Critical Sequence Training. ICIAP (1) (2023)
Luca Valente, Yvan Tortorella, Mattia Sinigaglia, Giuseppe Tagliavini, Alessandro Capotondi, Luca Benini, Davide Rossi
HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC. DATE (2023)
Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi
Exploiting Multiple Sequence Lengths in Fast End to End Training for Image Captioning. BigData (2023)
Jia-Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi
Heterogeneous Encoders Scaling In The Transformer For Neural Machine Translation. CoRR (2023)
Andrea Bernardi, Gianluca Brilli, Alessandro Capotondi, Andrea Marongiu, Paolo Burgio
An FPGA Overlay for Efficient Real-Time Localization in 1/10th Scale Autonomous Vehicles. DATE (2022)
Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi
ExpansionNet v2: Block Static Expansion in fast end to end training for Image Captioning. CoRR (2022)
Luca Valente, Yvan Tortorella, Mattia Sinigaglia, Giuseppe Tagliavini, Alessandro Capotondi, Luca Benini, Davide Rossi
HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC. CoRR (2022)
Gianluca Brilli, Alessandro Capotondi, Paolo Burgio, Andrea Marongiu
Understanding and Mitigating Memory Interference in FPGA-based HeSoCs. DATE (2022)
Gianluca Bellocchi, Alessandro Capotondi, Francesco Conti, Andrea Marongiu
A RISC-V-based FPGA Overlay to Simplify Embedded Accelerator Deployment. DSD (2021)
Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays. CoRR (2021)
Daniel Madroñal, Francesca Palumbo, Alessandro Capotondi, Andrea Marongiu
Unmanned Vehicles in Smart Farming: a Survey and a Glance at Future Horizons. DroneSE/RAPIDO@HiPEAC (2021)
Miguel de Prado, Manuele Rusci, Alessandro Capotondi, Romain Donze, Luca Benini, Nuria Pazos
Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles. Sensors 21 (4) (2021)
Leonardo Ravaglia, Manuele Rusci, Davide Nadalini, Alessandro Capotondi, Francesco Conti, Luca Benini
A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Miguel de Prado, Manuele Rusci, Romain Donze, Alessandro Capotondi, Serge Monnerat, Luca Benini, Nuria Pazos
Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles. ISCAS (2021)
Manuele Rusci, Alessandro Capotondi, Luca Benini
Memory-Driven Mixed Low Precision Quantization for Enabling Deep Network Inference on Microcontrollers. MLSys (2020)
Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini
Memory-Latency-Accuracy Trade-offs for Continual Learning on a RISC-V Extreme-Edge Node. CoRR (2020)
Andreas Kurth, Koen Wolters, Björn Forsberg, Alessandro Capotondi, Andrea Marongiu, Tobias Grosser, Luca Benini
Mixed-data-model heterogeneous compilation and OpenMP offloading. CC (2020)
Manuele Rusci, Marco Fariselli, Alessandro Capotondi, Luca Benini
Leveraging Automated Mixed-Low-Precision Quantization for tiny edge microcontrollers. CoRR (2020)
Alessandro Capotondi, Manuele Rusci, Marco Fariselli, Luca Benini
CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices. IEEE Trans. Circuits Syst. II Express Briefs (5) (2020)
Paolo Meloni, Daniela Loi, Gianfranco Deriu, Marco Carreras, Francesco Conti, Alessandro Capotondi, Davide Rossi
Exploring NEURAghe: A Customizable Template for APSoC-Based CNN Inference at the Edge. IEEE Embed. Syst. Lett. 12 (2) (2020)
Miguel de Prado, Romain Donze, Alessandro Capotondi, Manuele Rusci, Serge Monnerat, Luca Benini, Nuria Pazos
Robust navigation with tinyML for autonomous mini-vehicles. CoRR (2020)
Micaela Verucchi, Gianluca Brilli, Davide Sapienza, Mattia Verasani, Marco Arena, Francesco Gatti, Alessandro Capotondi, Roberto Cavicchioli, Marko Bertogna, Marco Solieri
A Systematic Assessment of Embedded Neural Networks for Object Detection. ETFA (2020)
Manuele Rusci, Marco Fariselli, Alessandro Capotondi, Luca Benini
Leveraging Automated Mixed-Low-Precision Quantization for Tiny Edge Microcontrollers. IoT Streams/ITEM@PKDD/ECML (2020)
Leonardo Ravaglia, Manuele Rusci, Alessandro Capotondi, Francesco Conti, Lorenzo Pellegrini, Vincenzo Lomonaco, Davide Maltoni, Luca Benini
Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node. SiPS (2020)
Manuele Rusci, Alessandro Capotondi, Luca Benini
Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers. CoRR (2019)
Manuele Rusci, Alessandro Capotondi, Francesco Conti, Luca Benini
Quantized NNs as the definitive solution for inference on low-power ARM MCUs?: work-in-progress. CODES+ISSS (2018)
Paolo Meloni, Alessandro Capotondi, Gianfranco Deriu, Michele Brian, Francesco Conti, Davide Rossi, Luigi Raffo, Luca Benini
NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs. ACM Trans. Reconfigurable Technol. Syst. 11 (3) (2018)
Igor Loi, Alessandro Capotondi, Davide Rossi, Andrea Marongiu, Luca Benini
The Quest for Energy-Efficient I$ Design in Ultra-Low-Power Clustered Many-Cores. IEEE Trans. Multi Scale Comput. Syst. 4 (2) (2018)
Alessandro Capotondi, Andrea Marongiu, Luca Benini
Runtime Support for Multiple Offload-Based Programming Models on Clustered Manycore Accelerators. IEEE Trans. Emerg. Top. Comput. 6 (3) (2018)
Andreas Kurth, Alessandro Capotondi, Pirmin Vogel, Luca Benini, Andrea Marongiu
HERO: an open-source research platform for HW/SW exploration of heterogeneous manycore systems. ANDARE@PACT (2018)
Alessandro Capotondi, Andrea Marongiu
Enabling zero-copy OpenMP offloading on the PULP many-core accelerator. SCOPES (2017)
Paolo Meloni, Alessandro Capotondi, Gianfranco Deriu, Michele Brian, Francesco Conti, Davide Rossi, Luigi Raffo, Luca Benini
NEURAghe: Exploiting CPU-FPGA Synergies for Efficient and Flexible CNN Inference Acceleration on Zynq SoCs. CoRR (2017)
Andreas Kurth, Pirmin Vogel, Alessandro Capotondi, Andrea Marongiu, Luca Benini
HERO: Heterogeneous Embedded Research Platform for Exploring RISC-V Manycore Accelerators on FPGA. CoRR (2017)
Alessandro Capotondi, Andrea Marongiu
On the effectiveness of OpenMP teams for cluster-based many-core accelerators. HPCS (2016)
Andrea Marongiu, Alessandro Capotondi, Luca Benini
Controlling NUMA effects in embedded manycore applications with lightweight nested parallelism support. Parallel Comput. 59 (2016)
Davide Rossi, Francesco Conti, Andrea Marongiu, Antonio Pullini, Igor Loi, Michael Gautschi, Giuseppe Tagliavini, Alessandro Capotondi, Philippe Flatresse, Luca Benini
PULP: A parallel ultra low power platform for next generation IoT applications. Hot Chips Symposium (2015)
Alessandro Capotondi, Germain Haugou, Andrea Marongiu, Luca Benini
Runtime Support for Multiple Offload-Based Programming Models on Embedded Manycore Accelerators. COSMIC@CGO (2015)
Andrea Marongiu, Alessandro Capotondi, Giuseppe Tagliavini, Luca Benini
Simplifying Many-Core-Based Heterogeneous SoC Programming With Offload Directives. IEEE Trans. Ind. Informatics 11 (4) (2015)
Alessandro Capotondi, Andrea Marongiu, Luca Benini
Enabling Scalable and Fine-Grained Nested Parallelism on Embedded Many-cores. MCSoC (2015)
Marco Balboni, Marta Ortín-Obón, Alessandro Capotondi, Hervé Tatenguem Fankem, Alberto Ghiribaldi, Luca Ramini, Víctor Viñals, Andrea Marongiu, Davide Bertozzi
Augmenting manycore programmable accelerators with photonic interconnect technology for the high-end embedded computing domain. NOCS (2014)
Andrea Marongiu, Alessandro Capotondi, Giuseppe Tagliavini, Luca Benini
Improving the programmability of STHORM-based heterogeneous systems with offload-enabled OpenMP. MES (2013)

Alessandro Capotondi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Alessandro Capotondi